3 resultados para macroeconomic effects of infrequent information

em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States


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Overview. The Studies Committee received an in-person progress report from the consultants retained by the Legislature to conduct a study of the socioeconomic effects of gambling on Iowans. Dr. Deepak Chhabra and Dr. Gene Lutz, both of the University of Northern Iowa, presented an update on the conduct of the study. Gambling Study Description. The consultants indicated that the study objectives are to determine the economic impact of gambling at existing Iowa casinos on the local community, the socioeconomic characteristics of gamblers, the social impact of gambling on the local community, and the impact of problem gambling. The consultants stated that the major research methods they would use would be historical data, telephone surveys of local residents, telephone interviews with key personnel, and use of an economic impact model. In conducting the study, the consultants indicated they would examine four study areas within Iowa. Study area I would be all of Iowa, area II would be that area in Iowa within a 50-mile radius of a casino, area III would be counties with a casino, and area IV would be based upon casino employee zip codes. The consultants briefed the Committee on the data collected so far and described current challenges in obtaining data on all casino visitors and from obtaining information from several convention and visitor bureaus and chambers of commerce.

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The overarching goal of the proposed research was to provide a predictive tool for knickpoint propagation within the HCA (Hungry Canyon Alliance) territory. Knickpoints threaten the stability of bridge structures in Western Iowa. The study involved detailed field investigations over two years in order to monitor the upstream migration of a knickpoint on Mud Creek in Mills County, IA and identify the key mechanisms triggering knickpoint propagation. A state-of-the-art laser level system mounted on a movable truss provided continuous measurements of the knickpoint front for different flow conditions. A pressure transducer found in proximity of the truss provided simultaneous measurements of the flow depth. The laser and pressure transducer measurements led to the identification of the conditions at which the knickpoint migration commences. It was suggested that negative pressures developed by the reverse roller flow near the toe of the knickpoint face triggered undercutting of the knickpoint at this location. The pressure differential between the negative pressure and the atmospheric pressure also draws the impinging jet closer to the knickpoint face producing scour. In addition, the pressure differential may induce suction of sediment from the face. Other contributing factors include slump failure, seepage effects, and local fluvial erosion due to the exerted fluid shear. The prevailing flow conditions and soil information along with the channel cross-sectional geometry and gradient were used as inputs to a transcritical, one dimensional, hydraulic/geomorphic numerical model, which was used to map the flow characteristics and shear stress conditions near the knickpoint. Such detailed flow calculations do not exist in the published literature. The coupling of field and modeling work resulted in the development of a blueprint methodology, which can be adopted in different parts of the country for evaluating knickpoint evolution. This information will assist local government agencies in better understanding the principal factors that cause knickpoint propagation and help estimate the needed response time to control the propagation of a knickpoint after one has been identified.

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The effects of farm equipment on the structural behavior of flexible and rigid pavements were investigated in this study. The project quantified the difference in pavement behavior caused by heavy farm equipment as compared to a typical 5-axle, 80 kip semi-truck. This research was conducted on full scale pavement test sections designed and constructed at the Minnesota Road Research facility (MnROAD). The testing was conducted in the spring and fall seasons to capture responses when the pavement is at its weakest state and when agricultural vehicles operate at a higher frequency, respectively. The flexible pavement sections were heavily instrumented with strain gauges and earth pressure cells to measure essential pavement responses under heavy agricultural vehicles, whereas the rigid pavement sections were instrumented with strain gauges and linear variable differential transducers (LVDTs). The full scale testing data collected in this study were used to validate and calibrate analytical models used to predict relative damage to pavements. The developed procedure uses various inputs (including axle weight, tire footprint, pavement structure, material characteristics, and climatic information) to determine the critical pavement responses (strains and deflections). An analysis was performed to determine the damage caused by various types of vehicles to the roadway when there is a need to move large amounts agricultural product.